326 to 350 of 421 NoSQL Jobs

work will involve staying ahead of new technology trends to ensure the company remains at the forefront of Generative AI. What we're looking for: Expertise in SQL and noSQL technologies (e.g., MS SQL, Oracle, MongoDB). Experience with data processing and exchange (ETL, ESB, API). Strong development skills, particularly with Python. Big data experience/knowledge (hadoop etc More ❯

deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯

deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯

deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯

deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯

standards Contribute to the technology roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative More ❯

access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI More ❯

access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI More ❯

access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI More ❯

access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI More ❯

a must! Experience in data management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have worked on migration projects and some experience with management systems More ❯

The Role You’ll be responsible for: Designing and developing conceptual, logical, and physical data models . Implementing models across RDBMS, ODS, data marts, and data lakes (SQL/NoSQL). Translating business needs into robust, long-term data models. Applying Data Vault 2.0 techniques in real-world implementations. Supporting metadata management, governance, and best practices with tools like Erwin More ❯

a must! Experience in data management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have worked on migration projects and some experience with management systems More ❯

a must! Experience in data management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have worked on migration projects and some experience with management systems More ❯

jQuery, HTML, CSS/SCSS, Shopify (working with liquid files), and related technologies. Experience in AWS (Lambda, S3, API Gateway), Node/NPM, and with SQL and/or NoSQL databases is also desirable. -? A working knowledge of CMS implementation and server-side programming languages is required. -? Solid knowledge of performance improvement and optimization best practices. -? A strong sense of More ❯

ahead of emerging technologies, contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB, APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and More ❯

Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯

Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯

Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯

platform team. Key Responsibilities Design and Development Design, develop and implement high-performance, scalable and maintainable backend systems Develop APIs and other web services Work with databases (relational and NoSQL) to design and implement dara models Participate in all phases of the software development lifecycle, from design and development through to testing, deployment and monitoring and alerting Technical Leadership Coach More ❯

provide insight on our technology roadmap and deliver cutting edge solutions to our internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural More ❯

such as React or Angular will be instrumental in developing user-friendly interfaces and APIs. Proven expertise in backend and frontend technologies, web frameworks, and database management (relational and NoSQL). Strong familiarity with DevOps practices, automation tools, and cloud infrastructure management (Docker, Ansible) EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity More ❯

people-first approach. Experience in SaaS or platform-based businesses is a plus Experience in data roles (data engineering, BI, analytics or architecture). Data lake storage, SQL database, NoSQL Sound understanding of database architecture and relevant underpinning concepts, including relational data modelling, frameworks, warehouse and data lake design, performance optimisation and scaling. Experience in data modernisation projects and working More ❯

people-first approach. Experience in SaaS or platform-based businesses is a plus Experience in data roles (data engineering, BI, analytics or architecture). Data lake storage, SQL database, NoSQL Sound understanding of database architecture and relevant underpinning concepts, including relational data modelling, frameworks, warehouse and data lake design, performance optimisation and scaling. Experience in data modernisation projects and working More ❯

or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level More ❯